Dimensional Analysis of Food Processes

Guillaume Delaplace, Karine Loubière, Fabrice Ducept, Romain Jeantet

• Publisher: ISTE Press - Elsevier
• Year: 2015
• ISBN:
  9780081004876
• Topic: Technology & Engineering
• Subtopic: Chemical & Biochemical Engineering
• Index: Technology & Engineering

This book deals with the modeling of food processing using dimensional analysis. When coupled to experiments and to the theory of similarity, dimensional analysis is indeed a generic, powerful and rigorous tool making it possible to understand and model complex processes for design, scale-up and /or optimization purposes.

This book presents the theoretical basis of dimensional analysis with a step by step detail of the framework for applying dimensional analysis, with chapters respectively dedicated to the extension of dimensional analysis to changing physical properties and to the use of dimensional analysis as a tool for scaling-up processes. It includes several original examples issued from the research works of the authors in the food engineering field, illustrating the conceptual approaches presented and strengthen the teaching of all.

• Discusses popular dimensional analysis for knowledge and scaling-up tools with detailed case studies
• Emphasises the processes dealing with complex materials of a multiphase nature
• Introduces the concept of chemical or material similarity and a framework for analysis of the functional forms of the propoerty

Table of contents

• Cover image
• Contents
• Title page
• Copyright
• Foreword
• Introduction
• 1: Objectives and Value of Dimensional Analysis
• 2: Dimensional Analysis: Principles and Methodology
• 3: Practical Tools for Undertaking the Dimensional Analysis Process
• 4: Dimensional Analysis of Processes Influenced by the Variability of Physical Properties
• 5: Dimensional Analysis: A Tool for Addressing Process Scale-up Issues
• 6: Case Studies
• Conclusions
• Appendix 1: Shift Relationships between Spaces of Dimensionless Numbers
• Appendix 2: Physical Meaning of Dimensionless Numbers Commonly Used in Process Engineering
• Appendix 3: The Transitivity Property of the Standard Non-dimensionalization Method and its Consequences on the Mathematical Expression of Reference-Invariant Standard Dimensionless Material Functions (RSDMFs)
• Appendix 4: Cases Where the Analytical Expression of the Material Function Is Known
• Appendix 5: Cases Where There Is No Known Analytical Expression of the Material Function
• Appendix 6: Relevant Choice of the Reference Abscissa for Non-Newtonian Fluids
• Bibliography
• Index